Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation
The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system configurations and control strategies. HIL validation will ensure the performance and reliability of the optimized tidal energy conversion system. The preparation of the present manual has been supported by the U.S. Department of Energy.
Citation Formats
TY - DATA
AB - The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system configurations and control strategies. HIL validation will ensure the performance and reliability of the optimized tidal energy conversion system. The preparation of the present manual has been supported by the U.S. Department of Energy.
AU - Luo, Fang
A2 - Singh, Deepi
A3 - Hassan, Mustafeez-ul-
DB - Marine and Hydrokinetic Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15473/1997352
KW - MHK
KW - Marine
KW - energy
KW - power
KW - Tidal
KW - CHIL
KW - MATLAB
KW - Simulink
KW - Code
KW - Modeling
KW - control hardware-in-the-loop
KW - TEC
KW - tidal energy converter
KW - Powering the Blue Economy
LA - English
DA - 2023/07/17
PY - 2023
PB - Stony Brook University
T1 - Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation
UR - https://doi.org/10.15473/1997352
ER -
Luo, Fang, et al. Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation. Stony Brook University, 17 July, 2023, Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/1997352.
Luo, F., Singh, D., & Hassan, M. (2023). Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation. [Data set]. Marine and Hydrokinetic Data Repository. Stony Brook University. https://doi.org/10.15473/1997352
Luo, Fang, Deepi Singh, and Mustafeez-ul- Hassan. Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation. Stony Brook University, July, 17, 2023. Distributed by Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/1997352
@misc{MHKDR_Dataset_497,
title = {Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation},
author = {Luo, Fang and Singh, Deepi and Hassan, Mustafeez-ul-},
abstractNote = {The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system configurations and control strategies. HIL validation will ensure the performance and reliability of the optimized tidal energy conversion system. The preparation of the present manual has been supported by the U.S. Department of Energy.},
url = {https://mhkdr.openei.org/submissions/497},
year = {2023},
howpublished = {Marine and Hydrokinetic Data Repository, Stony Brook University, https://doi.org/10.15473/1997352},
note = {Accessed: 2025-04-24},
doi = {10.15473/1997352}
}
https://dx.doi.org/10.15473/1997352
Details
Data from Jul 17, 2023
Last updated May 17, 2024
Submitted Jul 18, 2023
Organization
Stony Brook University
Contact
Fang Luo
Authors
Keywords
MHK, Marine, energy, power, Tidal, CHIL, MATLAB, Simulink, Code, Modeling, control hardware-in-the-loop, TEC, tidal energy converter, Powering the Blue EconomyDOE Project Details
Project Name Atlantic Marine Energy Center
Project Lead Samantha Eaves
Project Number EE0009450
